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An Efficient Parallel Algorithm for Computing Bicompatible Elimination Ordering (BCO) of Proper Interval Graphs

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2552))

Abstract

In this paper, we first show how a certein ordering of vertices, called bicompatible elimination ordering (BCO), of a proper interval graph (PIG) can be used to solve optimally the following problems: finding Hamiltonian cycle in a Hamiltonian PIG, the set of articulation points and bridges, and the single source or all pair shortest paths. We then propose an NC parallel algorithm (i.e., polylogarithmic-time employing a polynomial number of processors) to compute a BCO of a proper interval graph.

Part of this work was done while the first author was with the Dept of Computer and Information Sciences, Univ of Hyderabad and was visiting the Dept of Computer Science and Engineering at the Univ of Texas at Arlington. This work was partally supported by NASA Ames Research Center under Cooperative Agreement Number NCC 2-5359.

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© 2002 Springer-Verlag Berlin Heidelberg

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Panda, B.S., Das, S.K. (2002). An Efficient Parallel Algorithm for Computing Bicompatible Elimination Ordering (BCO) of Proper Interval Graphs. In: Sahni, S., Prasanna, V.K., Shukla, U. (eds) High Performance Computing — HiPC 2002. HiPC 2002. Lecture Notes in Computer Science, vol 2552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36265-7_32

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  • DOI: https://doi.org/10.1007/3-540-36265-7_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00303-8

  • Online ISBN: 978-3-540-36265-4

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